Pandas Profiling Report

Dataset statistics

Number of variables	12
Number of observations	3584
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	336.1 KiB
Average record size in memory	96.0 B

Variable types

Numeric	9
Categorical	3

Warnings

`updated_dates` has a high cardinality: 512 distinct values	High cardinality
`df_index` is highly correlated with `latitude` and 4 other fields	High correlation
`latitude` is highly correlated with `df_index` and 2 other fields	High correlation
`longitude` is highly correlated with `latitude`	High correlation
`confirmed` is highly correlated with `df_index` and 3 other fields	High correlation
`deaths` is highly correlated with `df_index` and 2 other fields	High correlation
`recovered` is highly correlated with `df_index` and 3 other fields	High correlation
`active` is highly correlated with `df_index` and 1 other fields	High correlation
`df_index` is highly correlated with `latitude` and 5 other fields	High correlation
`year` is highly correlated with `incident`	High correlation
`latitude` is highly correlated with `df_index` and 2 other fields	High correlation
`longitude` is highly correlated with `df_index` and 2 other fields	High correlation
`confirmed` is highly correlated with `df_index` and 5 other fields	High correlation
`deaths` is highly correlated with `df_index` and 3 other fields	High correlation
`recovered` is highly correlated with `df_index` and 3 other fields	High correlation
`active` is highly correlated with `df_index` and 3 other fields	High correlation
`incident` is highly correlated with `year`	High correlation
`df_index` is highly correlated with `latitude` and 4 other fields	High correlation
`latitude` is highly correlated with `df_index` and 1 other fields	High correlation
`longitude` is highly correlated with `latitude`	High correlation
`confirmed` is highly correlated with `df_index` and 3 other fields	High correlation
`deaths` is highly correlated with `df_index` and 3 other fields	High correlation
`recovered` is highly correlated with `df_index` and 3 other fields	High correlation
`active` is highly correlated with `df_index` and 3 other fields	High correlation
`active` is highly correlated with `recovered` and 7 other fields	High correlation
`recovered` is highly correlated with `active` and 9 other fields	High correlation
`df_index` is highly correlated with `active` and 8 other fields	High correlation
`fatality` is highly correlated with `active` and 9 other fields	High correlation
`confirmed` is highly correlated with `active` and 8 other fields	High correlation
`longitude` is highly correlated with `active` and 8 other fields	High correlation
`year` is highly correlated with `recovered` and 2 other fields	High correlation
`latitude` is highly correlated with `active` and 8 other fields	High correlation
`incident` is highly correlated with `recovered` and 6 other fields	High correlation
`deaths` is highly correlated with `active` and 8 other fields	High correlation
`Province` is highly correlated with `active` and 8 other fields	High correlation
`df_index` is uniformly distributed	Uniform
`Province` is uniformly distributed	Uniform
`updated_dates` is uniformly distributed	Uniform
`df_index` has unique values	Unique

Reproduction

Analysis started	2021-11-07 17:25:33.536969
Analysis finished	2021-11-07 17:26:00.670306
Duration	27.13 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	3584
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1791.5

Minimum	0
Maximum	3583
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	28.1 KiB

Quantile statistics

Minimum	0
5-th percentile	179.15
Q1	895.75
median	1791.5
Q3	2687.25
95-th percentile	3403.85
Maximum	3583
Range	3583
Interquartile range (IQR)	1791.5

Descriptive statistics

Standard deviation	1034.75601
Coefficient of variation (CV)	0.5775919676
Kurtosis	-1.2
Mean	1791.5
Median Absolute Deviation (MAD)	896
Skewness	0
Sum	6420736
Variance	1070720
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2382	1	< 0.1%
2383	1	< 0.1%
2384	1	< 0.1%
2385	1	< 0.1%
2386	1	< 0.1%
2387	1	< 0.1%
2388	1	< 0.1%
2389	1	< 0.1%
Other values (3574)	3574	99.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
3583	1	< 0.1%
3582	1	< 0.1%
3581	1	< 0.1%
3580	1	< 0.1%
3579	1	< 0.1%
3578	1	< 0.1%
3577	1	< 0.1%
3576	1	< 0.1%
3575	1	< 0.1%
3574	1	< 0.1%

year
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	28.1 KiB

2021	2156
2020	1428

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	14336
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2021
2nd row	2021
3rd row	2021
4th row	2021
5th row	2021

Common Values

Value	Count	Frequency (%)
2021	2156	60.2%
2020	1428	39.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2021	2156	60.2%
2020	1428	39.8%

Most occurring characters

Value	Count	Frequency (%)
2	7168	50.0%
0	5012	35.0%
1	2156	15.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	14336	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	7168	50.0%
0	5012	35.0%
1	2156	15.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	14336	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	7168	50.0%
0	5012	35.0%
1	2156	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14336	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	7168	50.0%
0	5012	35.0%
1	2156	15.0%

Province
Categorical

HIGH CORRELATION
UNIFORM

Distinct	7
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	28.1 KiB

Sindh	512
Punjab	512
Islamabad	512
Khyber Pakhtunkhwa	512
Balochistan	512
Other values (2)	1024

Length

Max length	22
Median length	11
Mean length	12.42857143
Min length	5

Characters and Unicode

Total characters	44544
Distinct characters	31
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sindh
2nd row	Sindh
3rd row	Sindh
4th row	Sindh
5th row	Sindh

Common Values

Value	Count	Frequency (%)
Sindh	512	14.3%
Punjab	512	14.3%
Islamabad	512	14.3%
Khyber Pakhtunkhwa	512	14.3%
Balochistan	512	14.3%
Azad Jammu and Kashmir	512	14.3%
Gilgit-Baltistan	512	14.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
sindh	512	9.1%
punjab	512	9.1%
islamabad	512	9.1%
khyber	512	9.1%
pakhtunkhwa	512	9.1%
balochistan	512	9.1%
azad	512	9.1%
jammu	512	9.1%
and	512	9.1%
kashmir	512	9.1%

Most occurring characters

Value	Count	Frequency (%)
a	7168	16.1%
i	3072	6.9%
n	3072	6.9%
h	3072	6.9%
t	2560	5.7%
d	2048	4.6%
s	2048	4.6%
l	2048	4.6%
m	2048	4.6%
	2048	4.6%
Other values (21)	15360	34.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	36352	81.6%
Uppercase Letter	5632	12.6%
Space Separator	2048	4.6%
Dash Punctuation	512	1.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	7168	19.7%
i	3072	8.5%
n	3072	8.5%
h	3072	8.5%
t	2560	7.0%
d	2048	5.6%
s	2048	5.6%
l	2048	5.6%
m	2048	5.6%
u	1536	4.2%
Other values (11)	7680	21.1%

Uppercase Letter

Value	Count	Frequency (%)
P	1024	18.2%
K	1024	18.2%
B	1024	18.2%
S	512	9.1%
I	512	9.1%
A	512	9.1%
J	512	9.1%
G	512	9.1%

Space Separator

Value	Count	Frequency (%)
	2048	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	512	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	41984	94.3%
Common	2560	5.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	7168	17.1%
i	3072	7.3%
n	3072	7.3%
h	3072	7.3%
t	2560	6.1%
d	2048	4.9%
s	2048	4.9%
l	2048	4.9%
m	2048	4.9%
u	1536	3.7%
Other values (19)	13312	31.7%

Common

Value	Count	Frequency (%)
	2048	80.0%
-	512	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44544	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	7168	16.1%
i	3072	6.9%
n	3072	6.9%
h	3072	6.9%
t	2560	5.7%
d	2048	4.6%
s	2048	4.6%
l	2048	4.6%
m	2048	4.6%
	2048	4.6%
Other values (21)	15360	34.5%

updated_dates
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	512
Distinct (%)	14.3%
Missing	0
Missing (%)	0.0%
Memory size	28.1 KiB

2021-01-02	7
2021-01-03	7
2020-07-23	7
2020-07-22	7
2020-07-21	7
Other values (507)	3549

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	35840
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2021-01-02
2nd row	2021-01-03
3rd row	2021-01-04
4th row	2021-01-05
5th row	2021-01-06

Common Values

Value	Count	Frequency (%)
2021-01-02	7	0.2%
2021-01-03	7	0.2%
2020-07-23	7	0.2%
2020-07-22	7	0.2%
2020-07-21	7	0.2%
2020-07-20	7	0.2%
2020-07-19	7	0.2%
2020-07-18	7	0.2%
2020-07-17	7	0.2%
2020-07-16	7	0.2%
Other values (502)	3514	98.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2021-01-02	7	0.2%
2021-01-03	7	0.2%
2020-07-23	7	0.2%
2020-07-22	7	0.2%
2020-07-21	7	0.2%
2020-07-20	7	0.2%
2020-07-19	7	0.2%
2020-07-18	7	0.2%
2020-07-17	7	0.2%
2020-07-16	7	0.2%
Other values (502)	3514	98.0%

Most occurring characters

Value	Count	Frequency (%)
0	9520	26.6%
2	9121	25.4%
-	7168	20.0%
1	5110	14.3%
7	784	2.2%
8	784	2.2%
9	763	2.1%
3	756	2.1%
6	700	2.0%
4	567	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	28672	80.0%
Dash Punctuation	7168	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9520	33.2%
2	9121	31.8%
1	5110	17.8%
7	784	2.7%
8	784	2.7%
9	763	2.7%
3	756	2.6%
6	700	2.4%
4	567	2.0%
5	567	2.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7168	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	35840	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9520	26.6%
2	9121	25.4%
-	7168	20.0%
1	5110	14.3%
7	784	2.2%
8	784	2.2%
9	763	2.1%
3	756	2.1%
6	700	2.0%
4	567	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	35840	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9520	26.6%
2	9121	25.4%
-	7168	20.0%
1	5110	14.3%
7	784	2.2%
8	784	2.2%
9	763	2.1%
3	756	2.1%
6	700	2.0%
4	567	1.6%

latitude
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	7
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	31.87417857

Minimum	26.009446
Maximum	35.792146
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	28.1 KiB

Quantile statistics

Minimum	26.009446
5-th percentile	26.009446
Q1	28.328492
median	33.665087
Q3	34.485332
95-th percentile	35.792146
Maximum	35.792146
Range	9.7827
Interquartile range (IQR)	6.15684

Descriptive statistics

Standard deviation	3.340887503
Coefficient of variation (CV)	0.1048148581
Kurtosis	-1.099548455
Mean	31.87417857
Median Absolute Deviation (MAD)	2.127059
Skewness	-0.5897898054
Sum	114237.056
Variance	11.16152931
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
26.009446	512	14.3%
30.811346	512	14.3%
33.665087	512	14.3%
34.485332	512	14.3%
28.328492	512	14.3%
34.027401	512	14.3%
35.792146	512	14.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
26.009446	512	14.3%
28.328492	512	14.3%
30.811346	512	14.3%
33.665087	512	14.3%
34.027401	512	14.3%
34.485332	512	14.3%
35.792146	512	14.3%

Value	Count	Frequency (%)
35.792146	512	14.3%
34.485332	512	14.3%
34.027401	512	14.3%
33.665087	512	14.3%
30.811346	512	14.3%
28.328492	512	14.3%
26.009446	512	14.3%

longitude
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.56523457

Minimum	65.898403
Maximum	74.982138
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	28.1 KiB

Quantile statistics

Minimum	65.898403
5-th percentile	65.898403
Q1	68.776807
median	72.139132
Q3	73.947253
95-th percentile	74.982138
Maximum	74.982138
Range	9.083735
Interquartile range (IQR)	5.170446

Descriptive statistics

Standard deviation	2.934571521
Coefficient of variation (CV)	0.04100554604
Kurtosis	-0.5585674741
Mean	71.56523457
Median Absolute Deviation (MAD)	1.808121
Skewness	-0.8268508823
Sum	256489.8007
Variance	8.611710011
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
68.776807	512	14.3%
73.121219	512	14.3%
72.09169	512	14.3%
65.898403	512	14.3%
73.947253	512	14.3%
74.982138	512	14.3%
72.139132	498	13.9%
72.139132	14	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
65.898403	512	14.3%
68.776807	512	14.3%
72.09169	512	14.3%
72.139132	498	13.9%
72.139132	14	0.4%
73.121219	512	14.3%
73.947253	512	14.3%
74.982138	512	14.3%

Value	Count	Frequency (%)
74.982138	512	14.3%
73.947253	512	14.3%
73.121219	512	14.3%
72.139132	14	0.4%
72.139132	498	13.9%
72.09169	512	14.3%
68.776807	512	14.3%
65.898403	512	14.3%

confirmed
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3396
Distinct (%)	94.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	94213.90765

Minimum	444
Maximum	470978
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	28.1 KiB

Quantile statistics

Minimum	444
5-th percentile	2613
Q1	12516.25
median	35209
Q3	131801.25
95-th percentile	372601.8
Maximum	470978
Range	470534
Interquartile range (IQR)	119285

Descriptive statistics

Standard deviation	118279.6815
Coefficient of variation (CV)	1.255437594
Kurtosis	1.670154145
Mean	94213.90765
Median Absolute Deviation (MAD)	30797
Skewness	1.613536579
Sum	337662645
Variance	1.399008306 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4882	6	0.2%
4959	6	0.2%
4956	6	0.2%
10390	4	0.1%
4951	4	0.1%
33220	3	0.1%
34253	3	0.1%
2105	3	0.1%
2816	3	0.1%
4909	3	0.1%
Other values (3386)	3543	98.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
444	1	< 0.1%
534	2	0.1%
574	1	< 0.1%
647	1	< 0.1%
663	1	< 0.1%
703	1	< 0.1%
740	1	< 0.1%
769	1	< 0.1%
803	1	< 0.1%
813	1	< 0.1%

Value	Count	Frequency (%)
470978	1	< 0.1%
470690	1	< 0.1%
470421	1	< 0.1%
470175	1	< 0.1%
469960	1	< 0.1%
469475	1	< 0.1%
469122	1	< 0.1%
468776	1	< 0.1%
468401	1	< 0.1%
468164	1	< 0.1%

deaths
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1970
Distinct (%)	55.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2070.7726

Minimum	9
Maximum	12936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	28.1 KiB

Quantile statistics

Minimum	9
5-th percentile	66
Q1	175
median	681.5
Q3	2829.75
95-th percentile	9019.85
Maximum	12936
Range	12927
Interquartile range (IQR)	2654.75

Descriptive statistics

Standard deviation	2894.014597
Coefficient of variation (CV)	1.397553066
Kurtosis	3.39571609
Mean	2070.7726
Median Absolute Deviation (MAD)	579.5
Skewness	1.935487177
Sum	7421649
Variance	8375320.489
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
102	50	1.4%
107	43	1.2%
103	40	1.1%
186	36	1.0%
101	27	0.8%
175	24	0.7%
145	24	0.7%
740	22	0.6%
111	21	0.6%
182	18	0.5%
Other values (1960)	3279	91.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
9	1	< 0.1%
10	2	0.1%
11	1	< 0.1%
13	3	0.1%
14	1	< 0.1%
15	4	0.1%
16	2	0.1%
17	3	0.1%
18	2	0.1%
19	1	< 0.1%

Value	Count	Frequency (%)
12936	1	< 0.1%
12929	1	< 0.1%
12924	1	< 0.1%
12918	1	< 0.1%
12915	2	0.1%
12909	1	< 0.1%
12904	1	< 0.1%
12902	1	< 0.1%
12898	1	< 0.1%
12896	1	< 0.1%

recovered
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2711
Distinct (%)	75.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	69822.32576

Minimum	217
Maximum	339379
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	28.1 KiB

Quantile statistics

Minimum	217
5-th percentile	2243.4
Q1	12377
median	47167.5
Q3	81523.5
95-th percentile	267407.15
Maximum	339379
Range	339162
Interquartile range (IQR)	69146.5

Descriptive statistics

Standard deviation	79608.88173
Coefficient of variation (CV)	1.140163707
Kurtosis	2.531833401
Mean	69822.32576
Median Absolute Deviation (MAD)	34695.5
Skewness	1.743747971
Sum	250243215.5
Variance	6337574050
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
69822.32576	637	17.8%
4856	13	0.4%
11861	6	0.2%
2002	5	0.1%
2212	5	0.1%
4867	4	0.1%
4787	4	0.1%
4853	4	0.1%
4795	4	0.1%
4805	4	0.1%
Other values (2701)	2898	80.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
217	1	< 0.1%
237	2	0.1%
242	1	< 0.1%
254	1	< 0.1%
264	1	< 0.1%
290	1	< 0.1%
302	1	< 0.1%
312	1	< 0.1%
317	1	< 0.1%
336	1	< 0.1%

Value	Count	Frequency (%)
339379	1	< 0.1%
334305	1	< 0.1%
333882	1	< 0.1%
333650	1	< 0.1%
333529	1	< 0.1%
333201	1	< 0.1%
333198	1	< 0.1%
332830	1	< 0.1%
332777	1	< 0.1%
332429	1	< 0.1%

active
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2237
Distinct (%)	62.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5935.375976

Minimum	0
Maximum	49980
Zeros	2
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	28.1 KiB

Quantile statistics

Minimum	0
5-th percentile	105.15
Q1	664.75
median	3363.5
Q3	5935.375976
95-th percentile	23130.1
Maximum	49980
Range	49980
Interquartile range (IQR)	5270.625976

Descriptive statistics

Standard deviation	8359.487916
Coefficient of variation (CV)	1.408417588
Kurtosis	8.329876326
Mean	5935.375976
Median Absolute Deviation (MAD)	2588
Skewness	2.718163508
Sum	21272387.5
Variance	69881038.22
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5935.375976	637	17.8%
342	9	0.3%
333	8	0.2%
114	8	0.2%
359	7	0.2%
19	6	0.2%
295	6	0.2%
118	6	0.2%
108	6	0.2%
380	6	0.2%
Other values (2227)	2885	80.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2	0.1%
1	2	0.1%
2	2	0.1%
3	1	< 0.1%
4	4	0.1%
5	2	0.1%
6	2	0.1%
8	2	0.1%
9	2	0.1%
11	1	< 0.1%

Value	Count	Frequency (%)
49980	1	< 0.1%
49884	1	< 0.1%
49349	1	< 0.1%
49327	1	< 0.1%
49241	1	< 0.1%
48423	1	< 0.1%
48085	1	< 0.1%
48003	1	< 0.1%
47690	1	< 0.1%
47632	1	< 0.1%

incident
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	3399
Distinct (%)	94.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	669.9504665

Minimum	10.97552113
Maximum	5333.573876
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	28.1 KiB

Quantile statistics

Minimum	10.97552113
5-th percentile	76.07609602
Q1	152.2592254
median	314.0531141
Q3	608.4977425
95-th percentile	3883.762955
Maximum	5333.573876
Range	5322.598355
Interquartile range (IQR)	456.2385171

Descriptive statistics

Standard deviation	1046.790887
Coefficient of variation (CV)	1.562489974
Kurtosis	8.881420128
Mean	669.9504665
Median Absolute Deviation (MAD)	192.5196925
Skewness	3.055448302
Sum	2401102.472
Variance	1095771.162
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
481.657169	6	0.2%
489.253974	6	0.2%
488.9579946	6	0.2%
1025.075376	4	0.1%
488.4646956	4	0.1%
487.3794377	3	0.1%
484.3209838	3	0.1%
313.4181859	2	0.1%
3885.930831	2	0.1%
108.5673772	2	0.1%
Other values (3389)	3546	98.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10.97552113	1	< 0.1%
13.20028892	2	0.1%
14.18907461	1	< 0.1%
15.99360849	1	< 0.1%
16.38912276	1	< 0.1%
17.37790845	1	< 0.1%
18.29253521	1	< 0.1%
19.00940484	1	< 0.1%
19.84987267	1	< 0.1%
20.09706909	1	< 0.1%

Value	Count	Frequency (%)
5333.573876	1	< 0.1%
5331.979117	1	< 0.1%
5329.736486	1	< 0.1%
5328.540416	1	< 0.1%
5327.29451	1	< 0.1%
5326.198113	1	< 0.1%
5324.2545	1	< 0.1%
5323.158102	1	< 0.1%
5321.363998	1	< 0.1%
5319.968583	1	< 0.1%

fatality
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	3397
Distinct (%)	94.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.026813803

Minimum	0.8620606061
Maximum	4.19907758
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	28.1 KiB

Quantile statistics

Minimum	0.8620606061
5-th percentile	0.9360269847
Q1	1.126190772
median	2.029292606
Q3	2.804357597
95-th percentile	3.198653441
Maximum	4.19907758
Range	3.337016974
Interquartile range (IQR)	1.678166824

Descriptive statistics

Standard deviation	0.798536003
Coefficient of variation (CV)	0.3939858718
Kurtosis	-1.260088614
Mean	2.026813803
Median Absolute Deviation (MAD)	0.8167014447
Skewness	0.1134852481
Sum	7264.100668
Variance	0.6376597481
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.05811138	6	0.2%
2.068824252	6	0.2%
2.060189861	4	0.1%
1.790182868	4	0.1%
2.077816256	3	0.1%
2.747252747	3	0.1%
2.064777328	3	0.1%
2.056866304	3	0.1%
1.122407483	2	0.1%
0.9079949727	2	0.1%
Other values (3387)	3548	99.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.8620606061	1	< 0.1%
0.8623936494	1	< 0.1%
0.8629001157	1	< 0.1%
0.8631186174	1	< 0.1%
0.8635628745	1	< 0.1%
0.8636139833	1	< 0.1%
0.864256341	1	< 0.1%
0.8643791964	1	< 0.1%
0.8650635567	1	< 0.1%
0.8652942192	1	< 0.1%

Value	Count	Frequency (%)
4.19907758	1	< 0.1%
4.003293849	2	0.1%
3.91105696	1	< 0.1%
3.849487585	1	< 0.1%
3.830145674	1	< 0.1%
3.827414465	1	< 0.1%
3.825822997	1	< 0.1%
3.795093795	1	< 0.1%
3.76795374	1	< 0.1%
3.747293621	1	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	year	Province	updated_dates	latitude	longitude	confirmed	deaths	recovered	active	incident	fatality
0	0	2021	Sindh	2021-01-02	26.009446	68.776807	216632.0	3582.0	196134.0	16916.0	452.390614	1.653495
1	1	2021	Sindh	2021-01-03	26.009446	68.776807	217636.0	3594.0	196677.0	17365.0	454.487258	1.651381
2	2	2021	Sindh	2021-01-04	26.009446	68.776807	218597.0	3611.0	197430.0	17556.0	456.494105	1.651898
3	3	2021	Sindh	2021-01-05	26.009446	68.776807	219452.0	3623.0	197870.0	17959.0	458.279594	1.650930
4	4	2021	Sindh	2021-01-06	26.009446	68.776807	220501.0	3634.0	198577.0	18290.0	460.470211	1.648065
5	5	2021	Sindh	2021-01-07	26.009446	68.776807	221734.0	3653.0	199649.0	18432.0	463.045073	1.647469
6	6	2021	Sindh	2021-01-08	26.009446	68.776807	222999.0	3670.0	202034.0	17295.0	465.686761	1.645747
7	7	2021	Sindh	2021-01-09	26.009446	68.776807	224004.0	3679.0	202570.0	17755.0	467.785494	1.642381
8	8	2021	Sindh	2021-01-10	26.009446	68.776807	225509.0	3693.0	203328.0	18488.0	470.928371	1.637629
9	9	2021	Sindh	2021-01-11	26.009446	68.776807	226338.0	3699.0	204075.0	18564.0	472.659564	1.634281

Last rows

	df_index	year	Province	updated_dates	latitude	longitude	confirmed	deaths	recovered	active	incident	fatality
3574	3574	2020	Gilgit-Baltistan	2020-12-22	35.792146	74.982138	4831.0	99.0	4636.0	96.0	476.625519	2.049265
3575	3575	2020	Gilgit-Baltistan	2020-12-23	35.792146	74.982138	4832.0	99.0	4639.0	94.0	476.724179	2.048841
3576	3576	2020	Gilgit-Baltistan	2020-12-24	35.792146	74.982138	4838.0	99.0	4649.0	90.0	477.316138	2.046300
3577	3577	2020	Gilgit-Baltistan	2020-12-25	35.792146	74.982138	4844.0	101.0	4671.0	72.0	477.908096	2.085054
3578	3578	2020	Gilgit-Baltistan	2020-12-26	35.792146	74.982138	4847.0	101.0	4677.0	69.0	478.204076	2.083763
3579	3579	2020	Gilgit-Baltistan	2020-12-27	35.792146	74.982138	4850.0	101.0	4683.0	66.0	478.500055	2.082474
3580	3580	2020	Gilgit-Baltistan	2020-12-28	35.792146	74.982138	4850.0	101.0	4686.0	63.0	478.500055	2.082474
3581	3581	2020	Gilgit-Baltistan	2020-12-29	35.792146	74.982138	4853.0	101.0	4696.0	56.0	478.796035	2.081187
3582	3582	2020	Gilgit-Baltistan	2020-12-30	35.792146	74.982138	4855.0	101.0	4700.0	54.0	478.993354	2.080330
3583	3583	2020	Gilgit-Baltistan	2020-12-31	35.792146	74.982138	4856.0	101.0	4705.0	50.0	479.092014	2.079901

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows